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Figure 2 in High-resolution survey indicates high heterogeneity in copepod distribution in the hydrologically active Drake Passage
Figure 2. Map showing station positions (open circles). Background and scale below: temperature (◦C) at a depth of 10 m. PF, Polar Front. L1–L6, frontal transects.
Figure 5 in Community properties of benthic molluscs as indicators of environmental stress induced by organic enrichment
Figure 5. MDS plots of Zoogeographical Categories Groups (ZCG) where mean abundance of each group is superimposed.
FIGURES AD1–AD8. Adults. Sample IDs in parentheses. Scale bar = 2 mm unless otherwise indicated. AD1a, Scardia amurensis (06-BLLOC-1332); AD1b, Scardia anatomella (USNMENT00657747); AD2, Triaxomera parasitella (CNCLEP00067773); AD3, Nemapogon cloacella male (CNCLEP00069166); AD4a, Elatobia montelliella male (JD7366); AD4b, Elatobia montelliella female (JD7368); AD5, Tinea svenssoni (CNCLEP00027522); AD6, Caloptilia suberinella (USNMENT00657745); AD7, Parornix betulae (MM03970); AD8, Phyllonorycter maestingella (USNMENT00657746). in Shared but overlooked: 30 species of Holarctic Microlepidoptera revealed by DNA barcodes and morphology
FIGURES AD1–AD8. Adults. Sample IDs in parentheses. Scale bar = 2 mm unless otherwise indicated. AD1a, Scardia amurensis (06-BLLOC-1332); AD1b, Scardia anatomella (USNMENT00657747); AD2, Triaxomera parasitella (CNCLEP00067773); AD3, Nemapogon cloacella male (CNCLEP00069166); AD4a, Elatobia montelliella male (JD7366); AD4b, Elatobia montelliella female (JD7368); AD5, Tinea svenssoni (CNCLEP00027522); AD6, Caloptilia suberinella (USNMENT00657745); AD7, Parornix betulae (MM03970); AD8, Phyllonorycter maestingella (USNMENT00657746).
Figure 19 in Integrative taxonomy of Parasabella and Sabellomma (Sabellidae: Annelida) from Australia: description of new species, indication of cryptic diversity, and translocation of some species out of their natural distribution range
Figure 19. Sabellomma cupoculata sp. nov., scanning electron microscope photographs. A, whole specimen, ventral view. B, anterior thoracic chaetigers and base of radiolar crown, ventral view, showing collar with low ventral lappets. C, same, lateral view. D, same, dorsal view. E, midthoracic parapodium with elongate, narrowly hooded superior chaetae (arrow) and broadly hooded type A chaetae in inferior group. F, detail of inferior, broadly hooded chaetae of type B. G, thoracic uncini. H, I, companion chaetae, frontal view. J, companion chaetae, lateral view. K, midabdominal narrowly hooded neurochaetae. L, M, midabdominal uncini. N, posterior abdominal chaetigers and pygidium. A–N, AM W.39545.
Figure 14 in Integrative taxonomy of Parasabella and Sabellomma (Sabellidae: Annelida) from Australia: description of new species, indication of cryptic diversity, and translocation of some species out of their natural distribution range
Figure 14. Parasabella sp. cf. Parasabella japonica, colour micrographs. A–D, live specimens. A, anterior end, lateral view. B, radiolar crown and anterior thoracic chaetigers, lateral view. C, same, frontal view. D, colour pattern on lateral radioles. E–I, preserved specimens. E, distal end of radioles with well-developed radiolar flanges forming a 'scoop'. F, scanning electron micrograph, radiolar crown, showing 'flanged' distal radioles. G, complete specimen, lateral view. H, posterior peristomial ring collar with enlarged ventral lappets, lateral view. I, same, dorsolateral view. A, B, AM W.37062; C, D, AM W.36451; E, F, AM W.31101; G–I, AM W.36451.
Figure 13 in Integrative taxonomy of Parasabella and Sabellomma (Sabellidae: Annelida) from Australia: description of new species, indication of cryptic diversity, and translocation of some species out of their natural distribution range
Figure 13. Parasabella crassichaetae sp. nov. complex, scanning electron microscope photographs. A, anterior thoracic chaetigers and base of radiolar crown, ventral view, showing ventral shields in contact with neuropodial tori, and ventral lappets. B, anterior chaetigers, ventral view, of specimens with crown removed. C, anterior body, lateral view. D, same, dorsal view. E, elongate narrowly hooded collar chaetae. F, midthoracic parapodium, elongate, narrowly hooded superior chaetae (arrow) and broadly hooded type A chaetae in inferior group. G, detail of inferior, broadly hooded type A chaetae. H, thoracic uncini. I, companion chaetae. J, midabdominal, narrowly hooded neurochaetae. K, abdominal uncini. L, posterior abdominal chaetigers and rim-like pygidium. A, C, D, E, L, AM W.36298; B, F–K, AM W.31103.
Indicators of water quality in the Puruvesi Lake from 2008 to 2013 (OAL-FI)
<p>This dataset contains monthly water quality indicators ( <strong>Chlorophyll-a, Particulate inorganic carbon (PIC) and Particulate organic carbon (P)C)) </strong>derived from Remote Sensing MODIS observations from 2008 to 2013. </p> <p><strong>Chlorophyll-a</strong></p> <p>Chlorophyll-a is a measure of the amount of algae growing in a waterbody. It can be used to classify the trophic condition of a waterbody. Although algae are a natural part of freshwater ecosystems, too much algae can cause aesthetic problems such as green scums and bad odors, and can result in decreased levels of dissolved oxygen. Some algae also produce toxins that can be of public health concern when they are found in high concentrations.</p> <p><strong>Particulate inorganic carbon (PIC)</strong></p> <p>Particulate inorganic carbon or calcium carbonate, is a major component of the global ocean carbon cycle. Through the process of calcification, marine organisms produce PIC shells and carbon dioxide from calcium ions and bicarbonate in seawater. These organisms, upon death, eventually sink to the ocean floor. During this process, the calcium carbonate shells may partially dissolve and what remains accounts for about 75% of carbon deposition on the seafloor (Groom & Holligan, <a href="https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2017JC013146"><strong>1987</strong></a>). Moreover, calcium carbonate production leads to an increase in partial pressure of dissolved carbon dioxide in the surface layer of the ocean, weakening the effectiveness of the carbon dioxide sink produced by photosynthesis (Shutler et al., <a href="https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2017JC013146"><strong>2013</strong></a>).</p> <p><strong>Particulate onorganic carbon (POC)</strong> is one of the main pools of organic carbon found in the ocean. It is composed of living material (Phytoplankton, zooplanton, bacteria etc) and detritus. POC is important in terms of the global carbon cycle and it is the main pathway by which organic carbon formed via photosynthesis in the oceans surface layers is transferred to deeper ocean layers where it may be sequestered.</p> <p>In order to maintain the results in a easy to use platform, a GIS project is created using QGIS software (open source) to easily manage, edit, export and create layouts from the results. The layers are organized as follows:</p> <p><strong>OPERANDUM_QGIS_prj.qgz</strong><strong>:</strong> main QGIS project file that includes all layers</p> <p><strong>PuruvesiLake</strong><strong> (shapefile):</strong> Puruvesi lake exact boundary</p> <p><strong>PuruvesiLake_with_buffer (shapefile): </strong>Puruvesi lake boundary with a buffer of 1 km to make sure that marginal pixels are within the boundary for the analysis</p> <p><strong>P</strong><strong>I</strong><strong>CMa</strong><strong>p</strong><strong>_MODIS: </strong>60 monthly layers of estimated Particulate inorganic carbon from January 2008 until January 2013</p> <p><strong>Chlorophyll-a</strong><strong>:</strong> 60 monthly layers of estimated Chlorophyll-a content from January 2008 until January 2013</p> <p><strong>POCMap_MODIS</strong><strong>:</strong> 60 monthly layers of estimated Particulate organic carbon from January 2008 until January 2013</p>
Figure 3 in Molecular phylogeny and divergence times of Hormaphidinae (Hemiptera: Aphididae) indicate Late Cretaceous tribal diversification
Figure 3. The tree with divergence times obtained from analysis based on the combined data from EF-1a and COI and two calibration points is shown. The black dots on the tree represent an Aphidinae fossil calibration point (70 Mya) and a calibration point (25.5 Mya) cited from von Dohlen et al. (2002).
FIGURE. Phylogram of Tolypocladium generated from Maximum likelihood analysis of ITS, SSU and LSU sequence data. Purpureocillium lilacinum (CBS 284.36) was selected as an outgroup taxon. The tree topology of the ML analysis was similar to the BI. Maximum likelihood bootstrap values greater than 75 and Bayesian posterior probabilities over 0.90 were indicated above the nodes. The scale bar indicates 0.006 changes. The new species was in blue. in Yunnan-Guizhou Plateau: a mycological hotspot
FIGURE. Phylogram of Tolypocladium generated from Maximum likelihood analysis of ITS, SSU and LSU sequence data. Purpureocillium lilacinum (CBS 284.36) was selected as an outgroup taxon. The tree topology of the ML analysis was similar to the BI. Maximum likelihood bootstrap values greater than 75 and Bayesian posterior probabilities over 0.90 were indicated above the nodes. The scale bar indicates 0.006 changes. The new species was in blue.
Indic Ads
<p>The Indic-Ads Dataset is a collection of image ads that are of Indian origin or made on some popular indian brands. More details can be found at https://skeleton.iiit.ac.in/indicads.</p>
Dataset: Intestinal IgA positive cells indicate GvH and GvL
<p>Dataset: Intestinal IgA positive cells indicate GvH and GvL.</p>
Database of feed efficiency indicators of intensive fattening lambs of sheep breeds raised in Latvia in 2022 within the framework of project of the Latvian Council of Science LZP-2021/1-0489 project
<p>LZP-2021/1-0489 project: “<strong>Development of an innovative approach to identify biological determinants involved in the between-animal variation in feed efficiency in sheep farming</strong>.”</p> <p><strong>The aim of the project</strong> is to determine whether the feed efficiency status of Latvian meat sheep breeds could be predicted using a panel of genetic and molecular markers previously found to be associated with divergent FE status in a training population of lambs when fed the same diet.</p> <p><strong>Novelty</strong>: to determine the parameters predicting the most productive result of lamb rearing, we set out to develop the cheapest and most effective method for determining markers of feed efficiency - based on molecular and genetic markers obtained from the blood of live lambs.</p> <p><strong>About the project:</strong></p> <p>The costs associated with lambing (buying or keeping sheep) and preparing or purchasing feed are the two largest components of variable costs in sheep raising. Feed costs are high due to poor grain growing conditions in major producing countries, the use of feed grains in ethanol production, and increased competition for land in crop production compared to urban development. Feed efficiency in growing lambs (i.e., the animal's ability to reach a market or adult body weight (BW) with the least amount of feed intake) is a key factor in the sheep industry. Improving FE reduces production costs. Improving FE by 5% can bring economic benefits that are up to four times higher than a 5% increase in average daily gain (ADG).</p> <p>Traditionally, meat breeding programs have focused on outputs due mainly to the routine availability of phenotypic data on outputs or correlated traits. Currently, no marker has successfully explained enough of the variability in feed efficiency that they were used as part of a routine improvement program, as well as according to our data, no genetic parameters for performance and feed efficiency traits are available for sheep. The physiological determinants of feed efficiency or putative biomarkers used to analyze animal-to-animal variation in live lambs could be used as a cost-effective and rapid tool for genetic selection or management decisions.</p> <p><strong>About the data of the project:</strong></p> <p>LZP-2021/1-0489 project data on lamb samples of the year 2022, or the A22 group, which consists of 76 intensively fattened lambs from six breeds.</p> <p>The dataset includes data on feed efficiency indicators: (1) ratio traits: Feed efficiency (FE), Feed conversion ratio (FCR), Relative growth rate (RGR), Kleiber’s ratio (KR), or (2) regression or residual traits: Residual feed intake (RFI), Residual weight gain (RWG) and Residual intake and body weight gain (RIG). Calculations were made by using formulas from Lima et al., 2017 (<a href="https://doi.org/10.1590/S1806-92902017001000005">https://doi.org/10.1590/S1806-92902017001000005</a>).</p> <p>Based on the requirements of the breeding program of the breeds, every year, the offspring of the sire ram, certified for breeding activity, are selected and analyzed to estimate the sire rams. All lambs were born as twins, triplets or quadruplets from different ewes and health status was assessed before inclusion in the study so that there were at least two lambs per sire ram from the breed. This study was carried out in cooperation with Latvian Sheep Breeders' Association at the ram breeding control station. Lambs were fattened for 66.38 ± 1.27 days with an interval of 44 to 83 days.</p> <p> </p> <p>The data is the<strong> joint property</strong> of the participants of the LCS project: the University of Latvia and the Latvian University of Life Sciences and Technologies.</p>
Fig. 3 in Bond reactivity indices approach analysis of the [2+2] cycloaddition of jatrophane skeleton diterpenoids from Euphorbia gaditana Coss to tetracyclic gaditanone
Fig. 3. Selected NOESY correlations exhibited by 3. β-face correlations in red and α-face correlations in blue. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 4 in Alkaloid and iridoid glucosides from Palicourea luxurians (Rubiaceae: Palicoureeae) indicate tryptamine- and tryptophan-iridoid alkaloid formation apart the strictosidine pathway
Fig. 4. Tautomeric structures of dehydrorudgeifoline (2), including the electron pair movement indicated as red arrows. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
QUIN 2.0 - new release of the QUaternary fault strain INdicators database from the Southern Apennines of Italy
<p>This database relates to the paper “QUIN 2.0 - new release of the QUaternary fault strain INdicators database from the Southern Apennines of Italy”, by:</p> <p>Giusy Lavecchia<sup>1,2</sup>, Simone Bello<sup>1,2<strong>*</strong></sup>, Carlo Andrenacci<sup>1,2</sup>, Daniele Cirillo<sup>1,2</sup>, Federico Pietrolungo<sup>1,2</sup>, Donato Talone<sup>1,2</sup>, Federica Ferrarini<sup>1,2</sup>, Rita de Nardis<sup>1,2</sup>, Paolo Galli<sup>3,4</sup>, Joanna Faure Walker<sup>5</sup>, Claudia Sgambato<sup>6</sup>, Marco Menichetti<sup>2,7</sup>, Carmelo Monaco<sup>2,8,9</sup>, Salvatore Gambino<sup>2,8</sup>, Giorgio De Guidi<sup>2,8</sup>, Giovanni Barreca<sup>2,8</sup>, Francesco Carnemolla<sup>2,8</sup>, Fabio Brighenti<sup>2,8</sup>, Salvatore Giuffrida<sup>2,8</sup>, Filippo Carboni<sup>2,10,11</sup>, Luigi Ferranti<sup>2,12</sup>, Luisa Valoroso<sup>13</sup>, Giovanni Toscani<sup>2,14</sup>, Massimiliano R. Barchi<sup>2,11</sup>, Gerald Roberts<sup>6</sup> & Francesco Brozzetti<sup>1,2</sup></p> <p>QUIN 2.0 is a second release (after QUIN 1.0, Lavecchia et al., 2022 - Scientific Data) and includes 4,297 Fault Striation Pairs on 738 Structural Sites from southern Italy.</p> <p>The manuscript related to the dataset here hosted is on the Journal "Scientific Data", where each of the fields of the dataset is described. Refer to the manuscript for details.</p>
Relation of Laboratory Indices to Left Ventricular Thrombus Formation in Patients With Acute Anterior ST Segment Elevation Myocardial Infarction Undergoing Primary Percutaneous Coronary Intervention o
ClinicalTrials.gov study NCT06152939. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Correlation of Ultrasonography Indices of Venous Congestion With Intra-abdominal Pressure in ICU Patients.
ClinicalTrials.gov study NCT06160856. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Glycated Hbg Index and RDW as Prognstic Indicator in Critical Ill Patients
ClinicalTrials.gov study NCT07057154. IPD Sharing: YES. Countries: 0. Publications: 0.
Cancer as a complicATion in reCipients of Autologous Hematopoietic Stem Cell Transplantation for Autoimmune Disease iNdiCation trEated in FRance and Canada?
ClinicalTrials.gov study NCT06507800. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Significance of Platelet Indices and Ratios in Different Degrees of Burn
ClinicalTrials.gov study NCT06612385. IPD Sharing: Not stated. Countries: 0. Publications: 0.
ScienceDex guides
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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.