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FIGURE 14 in Unearthing the diversity of Japanese Magelona (Annelida: Magelonidae); three species new to science, and a redescription of Magelona japonica
FIGURE 14. Magelona boninensis sp. nov. (NMW.Z.2022.001.0003, Paratype, A; NMW.Z.2022.001.0007, Paratype, B, M–Q; NMW.Z.2022.001.0002, Holotype, C–L). A, anterior region (prostomium and chaetigers 1–10), dorsal view; B, prostomium, dorsal view; C–L, parapodia of chaetigers 1–10 respectively, anterior views; M, outer capillary notochaetae of chaetiger 9; N, mid-ramus capillary notochaetae of chaetiger 9; O, tridentate abdominal hooded hook, oblique-lateral view; P, tridentate abdominal hooded hook, frontal view; Q, acicular chaeta from chaetiger 11, lateral view. Ac = 'acicular' chaeta, BO = burrowing organ, Neuro = neuropodia, Noto = notopodia, PE = postchaetal expansion, Pre = prechaetal, PH = prostomial horns, Post = postchaetal, Pp = palp, SDL = superior dorsal lobe, numbers indicate chaetiger.
Official Science Repository of the QB50 Project
<p>QB50 data will provide the opportunity to study the mid-lower thermosphere in unparalleled detail with a completely novel data set. These data will be generated by a constellation of instruments in orbit and they will offer in-situ measurements of the density of the most prominent gases (i.e. N<sup>2</sup>, NO, O, O<sup>2</sup>, e<sup>-</sup>) in the thermosphere.</p> <p>This is an ideal situation for students at universities around the world to use QB50 as a basis for research projects, either at Master degree level or for a PhD since the data will guarantee the chance to publish peer-reviewed scientific articles and possibly provide important discoveries or new phenomena in the thermosphere. The aim for students of postdoctoral researchers is to become involved in the mission operations or data calibration once the mission is flying and so get hands-on experience with the data as they are recorded. This allows the researchers the opportunity to design specific experiments they may wish to try, for example studying a specific region in the thermosphere, or finding specific conjunctions of CubeSats in the QB50 fleet, and respond to interesting events found in the data.</p> <p><strong>The structure of the dataset is given in the readme.txt file.</strong></p>
Performance assessment of GE conventional X-ray System installed in Radiological Science Department of King Saud University
Open the record for dataset details and reuse information.
Unveiling of the monument Marine and Science
<u>Source</u>: Europeana <br><u>4DCity URL</u>: <a href="https://4dcity.org/imgupload/1652249744.7309.jpg">https://4dcity.org/imgupload/1652249744.7309.jpg</a> <br><u>Original Image URL</u>: <a href="https://api.europeana.eu/thumbnail/v2/url.json?uri=https%3A%2F%2Fwww.openbeelden.nl%2Fimages%2F703987%2FOnthulling_van_het_monument_Marine_en_Wetenschap_%25280_14%2529.png&type=VIDEO">https://api.europeana.eu/thumbnail/v2/url.json?uri=https%3A%2F%2Fwww.openbeelden.nl%2Fimages%2F703987%2FOnthulling_van_het_monument_Marine_en_Wetenschap_%25280_14%2529.png&type=VIDEO</a> <br><br><u>Image-Metadata:</u><br>Filename: 1652249744.7309.jpg<br>Image Dimensions: 360x288<br>Megapixels: 0.10 MP<br>Filesize: 159.94 KB<br>
Arts and Science building destroyed by fire
<u>Source</u>: Europeana <br><u>4DCity URL</u>: <a href="https://4dcity.org/imgupload/1652523751.0972.jpg">https://4dcity.org/imgupload/1652523751.0972.jpg</a> <br><u>Original Image URL</u>: <a href="https://api.europeana.eu/thumbnail/v2/url.json?uri=https%3A%2F%2Fwww.openbeelden.nl%2Fimages%2F659868%2FGebouw_Kunsten_en_Wetenschap_door_brand_verwoest_%25280_34%2529.png&type=VIDEO">https://api.europeana.eu/thumbnail/v2/url.json?uri=https%3A%2F%2Fwww.openbeelden.nl%2Fimages%2F659868%2FGebouw_Kunsten_en_Wetenschap_door_brand_verwoest_%25280_34%2529.png&type=VIDEO</a> <br><br><u>Image-Metadata:</u><br>Filename: 1652523751.0972.jpg<br>Image Dimensions: 360x288<br>Megapixels: 0.10 MP<br>Filesize: 90.95 KB<br>
FIGURE 5. Tiwaripotamon nganima n in Taxonomic notes on three species of Tiwaripotamon Bott, 1970 (Crustacea: Brachyura: Potamidae) from Vietnam and China, one of which is new to science
FIGURE 5. Tiwaripotamon nganima n. sp. A–E, holotype male (59.3 × 43.6 mm) (ZRC2022.0810), Vietnam; F–H, paratype male (41.5 × 31.3 mm) (ZRC 2022.0811), Vietnam. A, left G1 (ventral view); B, F, distal part of left G1 (ventral view); C, G, distal part of left G1 (dorsomesial view); D, H, distal part of left G1 (dorsal view); E, left G2. Scales: A, E = 1.0 mm; B–D, F–H = 0.5 mm.
FIGURE 12 in Taxonomic notes on three species of Tiwaripotamon Bott, 1970 (Crustacea: Brachyura: Potamidae) from Vietnam and China, one of which is new to science
FIGURE 12. Tiwaripotamon xiurenense Dai & Naiyanetr, 1994, holotype male (48.6 × 34.1 mm) (ZRC 2020.169), China. A, left G1 (ventral view); B, left G1 (subventral view); C, left G1 (dorsal view); D, distal part of left G1 (ventral view); E, distal part of left G1 (subventral view); F, distal part of left G1 (dorsal view); G, left G2.
Computer Science Research 2011-2018
<p><strong>Location of the institution</strong></p> <p>The location of the institution has been established by a 2-step process. First, a custom web-scraping tool has been used to find the latitude-longitude data of the institution at Wikipedia. For the institutions that were not successfully identified at Wikipedia, the location was attached using GeoPy (Bing location service).</p> <p>The following columns are related to location:</p> <p>LatLonReady: Latitude and longitude data</p> <p>country: name of the country</p> <p>continent: name of the continent</p> <p>cblock: same as country, EU countries as EU28</p> <p><strong>Business institution</strong></p> <p>Using the scraping tool developed for Wikipedia search, institutions were identified as business units if Wiki page contained information on Industry / HQ/ Product</p> <p>business: dummy variable</p> <p> </p> <p> </p>
FIGURES 20a–f. Rhophites mandibularis Morawitz, 1891 in The type specimens of bees (Hymenoptera, Apoidea) deposited in the Zoological Institute of the Russian Academy of Sciences, St. Petersburg. Contribution II. Family Halictidae, subfamilies Rophitinae, Nomiinae, and Nomioidinae
FIGURES 20a–f. Rhophites mandibularis Morawitz, 1891. Lectotype, male: a—habitus, lateral view; b—metasoma, dorsal view; c—head, frontal view; d—S7–S11, lateral view; e—mesosoma, dorsal view; f—labels.
Cognitive maps examples for behavioural science journal
<p>Cognitive maps examples for behavioural science journal</p>
Dataset: Applicability of open science practices to completed research projects from different disciplines and research paradigms
<p>This is the archived data for the reserach project "Applicability of open science practices to completed research projects from different disciplines and research paradigms". Data access is restricted.</p>
Open Science - Group 02 - Research Integrity
<p>Disponibilização de conteúdo sobre Integridade de Pesquisa na disciplina de ciência aberta da Universidade Estadual de Maringá (UEM).</p>
FIGURES 94–97 in Nepticulidae (Lepidoptera) of East Asia (1). Re-examination of the male genitalia of types deposited at the Russian Academy of Sciences
FIGURES 94–97. Male genitalia of Stigmella species. 94, S. dentatae Puplesis, general view, holotype, slide no. AG 399 (ZIN); 95, same, valvae; 96, S. omelkoi Puplesis, general view, holotype, slide no. AG 398 (ZIN); 97, valva. Scale bar 100 µm.
FIGURES 9–12 in Nepticulidae (Lepidoptera) of East Asia (1). Re-examination of the male genitalia of types deposited at the Russian Academy of Sciences
FIGURES 9–12. Male genitalia of Stigmella sashai Puplesis, holotype, slide no. AG 401 (ZIN). 9, general view (aedeagus removed); 10, gnathos and inner lobe of valvae; 11, dorsal view; 12, aedeagus. Scale bar 100 µm.
FIGURES 76–79 in Nepticulidae (Lepidoptera) of East Asia (1). Re-examination of the male genitalia of types deposited at the Russian Academy of Sciences
FIGURES 76–79. Male genitalia of Stigmella ussurica Puplesis (a junior syn. of Stigmella tranocrossa Kempermen & Wilkinson), paratype, slide no. AG 410 (ZIN). 76, general view; 77, other view with inner lobe of valva; 78, view with vinculum and uncus exposed; 79, aedeagus. Scale bar 100 µm.
FIGURE 4 in Insecta non gratae: New Distribution Records of Eight Alien Bug (Hemiptera) Species in Turkey with Contributions of Citizen Science
FIGURE 4. Leptoglossus occidentalis (Heidemann, 1910). A. Adult specimen from Edirne, B. Nymph from İstanbul.
FIGURE 5 in Insecta non gratae: New Distribution Records of Eight Alien Bug (Hemiptera) Species in Turkey with Contributions of Citizen Science
FIGURE 5. Perillus bioculatus (Fabricius, 1775): A. Specimen from Amasya (photo: A. Şeker), B. Specimen from Kastamonu (photo: H. Yaşayacak).
FIGURES 18a–e. Andrena tadzhica Popov, 1949 in The type specimens of bees (Hymenoptera: Apoidea) deposited in the Zoological Institute of the Russian Academy of Sciences, St. Petersburg. Contribution VI. Family Andrenidae, genus Andrena Fabricius, 1775, taxa described by V. Popov
FIGURES 18a–e. Andrena tadzhica Popov, 1949. Lectotype, female: a—habitus, lateral view and labels; b—head, frontal view; c—labrum, dorsal view; d—T1–T3, dorsal view; e—mesosoma, dorsal view. Scale bar: 1 mm.
Database of biochemistry data of intensive fattening lambs of sheep breeds raised in Latvia in 2022 ithin the framework of project of the Latvian Council of Science: LZP-2021/1-0489
<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 Feed efficiencyreduces production costs. Improving Feed efficiencyby 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>The endocrine system could affect Feed efficiency through its role in regulating feed intake and nutrient utilization. The gastrointestinal tract with attached glands is the source of secretes hormones that play an important role in regulating feed intake (such as insulin and ghrelin) and nutrient use (i.e., glucose-dependent insulinotropic polypeptide, insulin and IGF-1). Existing data indicate specific hormones related to nutrient metabolism may have a role in divergent feed efficiency status and are studied in more detail.</p> <p>Considering the fact that heat is generated as a side product of energy metabolism, Feed efficiency correlates inversely with heat production. Physiological indicators of FE such as hematocrit, hemoglobin and glucose are useful blood traits to identify efficient animals.</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 A22 group, which consists of 76 intensively fattened lambs from six breeds and nine samples from the LT breed, which were raised in the meadow and are semi-sibi lambs within the scope of the study. The dataset includes data on biochemical indicators: Insulin-like growth factor 1, Insulin, Total thyroxine, Adrenocorticotropic hormone, Haematocrit, Hemoglobin, Glucose, and Leptin. Data on Leptin are only for the first 50 samples because the data wasn’t different, and the level was too low for the detection method.</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>
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>
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.