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Figure 1 in Development and objectives of the PHYCOMORPH European Guidelines for the Sustainable Aquaculture of Seaweeds (PEGASUS)
Figure 1: Seaweed aquaculture to meet the goals of the European bioeconomy strategy (© Michele Barbier, based on EC documentation, 2018, source photos: iStock, © roxyminder #94394792; Fotolia_110024322_Subscription_XXL_© Countrypixel.jpg).
Figure 3 in Development and objectives of the PHYCOMORPH European Guidelines for the Sustainable Aquaculture of Seaweeds (PEGASUS)
Figure 3: Different European legislation with implications for seaweed aquaculture (© Michele Barbier).
Figure 2 in Development and objectives of the PHYCOMORPH European Guidelines for the Sustainable Aquaculture of Seaweeds (PEGASUS)
Figure 2: The development of sustainable seaweed aquaculture in Europe faces a number of challenges: market size, potential environmental impact, and preservation of local genetic diversity, the need to intensify research – both fundamental and applied, regulation of food quality, heavy metals or alien species, and cultivation constraints ranging from automation to issues of epiphytism (© Michele Barbier).
Figure 4 in Development and objectives of the PHYCOMORPH European Guidelines for the Sustainable Aquaculture of Seaweeds (PEGASUS)
Figure 4: Actions promoting the preservation of European marine biodiversity (© Michele Barbier, source photo © freepick.com).
Data and literature repository for "Climate Futures are Political Futures: Integrating Political Development Into the Shared Socioeconomic Pathways (SSPs)"
<p>The datasets provided in the repository (listed in Table 1 of the manuscript):</p> <ul> <li>Governance (Andrijevic et al., 2020)*</li> <li>Government effectiveness (Andrijevic et al., 2020)*</li> <li>Violent conflict (Hegre et al., 2016)</li> <li>Rule of law (update to the Soergel et al., 2021)</li> </ul> <p>*Please note that these two variables can be found in the same data file.<br><br></p> <p>The indicators can also be retrieved through the <a href="https://ssp-extensions.apps.ece.iiasa.ac.at/">SSP Extensions Explorer.</a> <br><br><strong><br>For applications of the projections of political indicators in further analyses, please consult the following references: </strong> </p> <p>Brutschin, E., Pianta, S., Tavoni, M., Riahi, K., Bosetti, V., Marangoni, G., & Van Ruijven, B. J. <a href="https://iopscience.iop.org/article/10.1088/1748-9326/abf0ce/meta">A multidimensional feasibility evaluation of low-carbon scenarios.</a> <em>Environmental Research Letters </em>2021, <em>16</em>(6), 064069.</p> <p>Gidden MJ, Brutschin E, Ganti G, Unlu G, Zakeri B, Fricko O<em>, et al. </em><a title="https://iopscience.iop.org/article/10.1088/1748-9326/acd8d5" href="https://iopscience.iop.org/article/10.1088/1748-9326/acd8d5">Fairness and feasibility in deep mitigation pathways with novel carbon dioxide removal considering institutional capacity to mitigate</a>. <em>Environmental Research Letters </em>2023, <strong>18</strong>(7)<strong>: </strong>074006. </p> <p>Hoch JM, de Bruin SP, Buhaug H, Von Uexkull N, van Beek R, Wanders N. <a title="https://iopscience.iop.org/article/10.1088/1748-9326/ac3db2" href="https://iopscience.iop.org/article/10.1088/1748-9326/ac3db2">Projecting armed conflict risk in Africa towards 2050 along the SSP-RCP scenarios: a machine learning approach</a>. <em>Environmental Research Letters </em>2021, <strong>16</strong>(12)<strong>: </strong>124068. </p> <p>Joshi DK, Hughes BB, Sisk TD. <a title="https://www.sciencedirect.com/science/article/abs/pii/S0305750X15000145" href="https://www.sciencedirect.com/science/article/abs/pii/S0305750X15000145">Improving governance for the Post-2015 Sustainable Development Goals: Scenario forecasting the next 50 years</a>. <em>World Development </em>2015, <strong>70: </strong>286-302. </p> <p>Moyer JD. <a title="https://www.sciencedirect.com/science/article/pii/S0305750X23000062" href="https://www.sciencedirect.com/science/article/pii/S0305750X23000062">Blessed are the peacemakers: The future burden of intrastate conflict on poverty</a>. <em>World Development </em>2023, <strong>165: </strong>106188. </p> <p>Moyer JD, Turner SD, Meisel CJ. <a title="https://journals.sagepub.com/doi/abs/10.1177/0022343320929740" href="https://journals.sagepub.com/doi/abs/10.1177/0022343320929740">What are the drivers of diplomacy? Introducing and testing new annual dyadic data measuring diplomatic exchange</a>. <em>Journal of Peace Research </em>2021, <strong>58</strong>(6)<strong>: </strong>1300-1310. </p> <p>Petrova, K, Olafsdottir, G, Hegre, H, Gilmore, EA (2023). <a title="https://iopscience.iop.org/article/10.1088/1748-9326/acb163" href="https://iopscience.iop.org/article/10.1088/1748-9326/acb163">The ‘conflict trap’ reduces economic growth in the shared socioeconomic pathways</a>. <em>Environmental Research Letters</em>, 2023, <strong>18</strong>(2), 024028. </p>
Figure 12 in Gonadal development and fecundity of bogue Boops boops (Linnaeus, 1758) (Sparidae) on the central Algerian coast
Figure 12. Determining the size of B. boops first sexual maturity in females, males, and combined sexes.
Figure 5 in Gonadal development and fecundity of bogue Boops boops (Linnaeus, 1758) (Sparidae) on the central Algerian coast
Figure 5. Transverse sections of female gonad in Boops boops: a) general view of stage I, b) detail of stage I oocyte I and oogonia, c) early perinucleolar stage (stage II), d) previtellogenic oocyte with numerous nucleoli, e) perinucleolar stage (stage III), f) vitellogenic oocyte with yolk protein, g) early yolk granule, h) spent ovaries with yolk vesicles (stage IV), i) late yolk granule (stage V), j) zona radiata, k) stage V (postspawning), l) atretic follicles. Lo: Ovarian lumen, Ow: ovarian wall, Ovl: ovigerous leg, m: mesothelium, OoI: oocyte I, N: nucleus, Nu: nucleoli, Cy: cytoplasm, Vo: vitellogenic oocyte, V: vacuole, Y: yolk granules, FE: follicular epithelium, Oog: oogonia, Po: previtellogenic oocyte, at: atretic follicle, POF: postovulatory follicle, Cy: cytoplasm.
Figure 7 in Gonadal development and fecundity of bogue Boops boops (Linnaeus, 1758) (Sparidae) on the central Algerian coast
Figure 7. Transverse sections of intersex gonad in Boops boops: a and b) ovotestis with female dominance, c) ovotestis with equal portions, d) ovotestis with male dominance and spermatozoa in deferent duct. Oc: Oocytes, Spg: spermatogonia, Spz: spermatozoa, T: testis, O: ovary, Cyst: cyst, Mb: basal membrane of the lobule, Bv: blood vessels, Dd: deferent duct.
Figure 6 in Gonadal development and fecundity of bogue Boops boops (Linnaeus, 1758) (Sparidae) on the central Algerian coast
Figure 6. Transverse sections of male gonad in Boops boops: a) immature testes with spermatogonia cells (stage I), b) early maturation (stage II) with Masson's trichrome stain, c) late developing (stage III), d) stage III spermatic preemission, e) general view of the testis in the emission stage (stage IV), f) spermatozoa in the cyst (stage IV), g) spermatic emission with spermatozoa in the deferent duct (stage IV), h) postemission (stage V), i) Rupture of the cyst at stage V. Spg: Spermatogonia, Spcy: spermatocyte, Cyst: cyst, Spd: spermatid, Dd: deferent duct, Spz: spermatozoa, Mb: basal membrane of the lobule, L: lobular lumen.
Assessing size at sexual maturity and fine-scale population structure in a direct developing whelk (Buccinum undatum) in Southern Newfoundland, Canada
<p>R script file used to filter genotype data, estimate L50, and analyze patterns of population structure of <em>Buccinum undatum </em>in Southern Newfoundland, Canada. Also included are the following files required to run the script:</p> <p>populationsNWA.snps.vcf - Northwest Atlantic group output at the conclusion of the Stacks de novo pipeline<br>pop_map_NWA.txt - Population map for the Northwest Atlantic group<br>genlightNWAFullFilt.rds - Filtered genotype data for the Northwest Atlantic group<br>populations3Ps.snps.vcf - 3Ps group output at the conclusion of the Stacks de novo pipeline <br>pop_map_3Ps.txt - Population map for the 3Ps group<br>genlight3PsFullFilt.rds - Filtered genotype data for the 3Ps group<br>maturity_data.csv - Data set containing, shell length, sex, and maturity status for samples.<br>sample_site_coordinates_3Ps.csv - Data set containing coordinates of 3Ps sample sites</p> <p> </p>
Рис. 8. СреЗы череЗ гонады моллюска: А – поперечный среЗ череЗ гонаду самки, Б–Д – фолликулы в гонадах самок (Б, В – Зрелые ооциты круглой формы, готовые к вымету; Г – ооциты в период активного гаметогенеЗа на стадии раннего трофоплаЗматического роста, Д – ооциты каплевидной формы в период преднерестовой стадии при ЗаверШении трофоплаЗматического роста), Е, Ж – поперечные среЗы череЗ гонаду самца, З, И – ацинусы в гонадах самцов (З – преднерестоваЯ стадиЯ, просветы в ацинусах практически отсутствуют, стенки ацинусов не раЗличимы, И – нерестоваЯ стадиЯ, имеютсЯ просветы в ацинусах). МасШтабные линейки 300 мкм (А), 200 мкм (Е), 100 мкм (Ж), 50 мкм (Б–Д, З, И). вя – вакуолиЗированное Ядро, сф – стенка фолликула, вм – вителлиноваЯ мембрана, РО – раЗвиваюЩиесЯ иЗ пелликулы ооциты, пг – ресничный проток гонады, с – сперматоциты, па – просветы в ацинусах. Fig. 8. Sections through the gonads of the mollusk: А – transverse section through the female gonad, Б–Д – ovarian acini, follicles (Б, В – mature round-shaped oocytes ready to be swept out; Г – oocytes in the period of active gametogenesis at the stage of early trophoplasmatic growth, Д – tear-shaped oocytes during the pre-spawning stage at the end of trophoplasmatic growth), Е, Ж – transverse sections through the male gonads, З, И – testicular acini (З – pre-spawning stage, with practically absent gaps in the acini and invisible the acini walls, И – spawning stage, with gaps in the acini). Scale bars 300 µm (A), 200 µm (E), 100 µm (Ж), 50 µm (Б–Д, З, И). вя – vacuolated nucleus, сф – follicle wall, вм – vitelline membrane, РО – developing oocytes arising from a pellicle, пг – ciliated gonadal duct, с – spermatocytes, па – gaps in acini. in Nodularia vladivostokensis (Bivalvia: Unionidae) from Razdolnaya River (Primorye, Russia)
Рис. 8. СреЗы череЗ гонады моллюска: А – поперечный среЗ череЗ гонаду самки, Б–Д – фолликулы в гонадах самок (Б, В – Зрелые ооциты круглой формы, готовые к вымету; Г – ооциты в период активного гаметогенеЗа на стадии раннего трофоплаЗматического роста, Д – ооциты каплевидной формы в период преднерестовой стадии при ЗаверШении трофоплаЗматического роста), Е, Ж – поперечные среЗы череЗ гонаду самца, З, И – ацинусы в гонадах самцов (З – преднерестоваЯ стадиЯ, просветы в ацинусах практически отсутствуют, стенки ацинусов не раЗличимы, И – нерестоваЯ стадиЯ, имеютсЯ просветы в ацинусах). МасШтабные линейки 300 мкм (А), 200 мкм (Е), 100 мкм (Ж), 50 мкм (Б–Д, З, И). вя – вакуолиЗированное Ядро, сф – стенка фолликула, вм – вителлиноваЯ мембрана, РО – раЗвиваюЩиесЯ иЗ пелликулы ооциты, пг – ресничный проток гонады, с – сперматоциты, па – просветы в ацинусах. Fig. 8. Sections through the gonads of the mollusk: А – transverse section through the female gonad, Б–Д – ovarian acini, follicles (Б, В – mature round-shaped oocytes ready to be swept out; Г – oocytes in the period of active gametogenesis at the stage of early trophoplasmatic growth, Д – tear-shaped oocytes during the pre-spawning stage at the end of trophoplasmatic growth), Е, Ж – transverse sections through the male gonads, З, И – testicular acini (З – pre-spawning stage, with practically absent gaps in the acini and invisible the acini walls, И – spawning stage, with gaps in the acini). Scale bars 300 µm (A), 200 µm (E), 100 µm (Ж), 50 µm (Б–Д, З, И). вя – vacuolated nucleus, сф – follicle wall, вм – vitelline membrane, РО – developing oocytes arising from a pellicle, пг – ciliated gonadal duct, с – spermatocytes, па – gaps in acini.
Рис. 6. Сроки нереста приморского гребешка (1), роста и раЗвития его личинок в планктоне от начала нереста до раЗмеров 150 мкм (2) и от 150 мкм до 250–275 мкм (3). Fig. 6. Terms of spawning of the Japanese scallop (1), growth and development of its larvae in plankton from the beginning of spawning to the sizes of 150 microns (2) and from 150 microns to 250–275 microns (3). in Review of methods for the forecast of mollusk's spat productivity in sea-farms of Primorye and probable ways of their enhancement
Рис. 6. Сроки нереста приморского гребешка (1), роста и раЗвития его личинок в планктоне от начала нереста до раЗмеров 150 мкм (2) и от 150 мкм до 250–275 мкм (3). Fig. 6. Terms of spawning of the Japanese scallop (1), growth and development of its larvae in plankton from the beginning of spawning to the sizes of 150 microns (2) and from 150 microns to 250–275 microns (3).
Рис. 4. Сетка термальных ресурсов Зал. Посьета с кривой раЗвития личинок приморского гребешка (номограмма для 1972 г.). Fig. 4. A grif of thermal resources of waters of Possjet Bay and the curve line of development of larvae of the Crassostrea gigas (nomogram for 1972). in Review of methods for the forecast of mollusk's spat productivity in sea-farms of Primorye and probable ways of their enhancement
Рис. 4. Сетка термальных ресурсов Зал. Посьета с кривой раЗвития личинок приморского гребешка (номограмма для 1972 г.). Fig. 4. A grif of thermal resources of waters of Possjet Bay and the curve line of development of larvae of the Crassostrea gigas (nomogram for 1972).
Рис. 3. Сетка термальных ресурсов Зал. Посьета с кривой раЗвития личинок тихоокеанской устрицы (номограмма) [Раков, 1977]. Fig. 3. A grid of thermal resources of waters of Possjet Bay and the curve line of development of larvae of the giant oyster Crassostrea gigas (nomogram) [Rakov, 1977]. in Review of methods for the forecast of mollusk's spat productivity in sea-farms of Primorye and probable ways of their enhancement
Рис. 3. Сетка термальных ресурсов Зал. Посьета с кривой раЗвития личинок тихоокеанской устрицы (номограмма) [Раков, 1977]. Fig. 3. A grid of thermal resources of waters of Possjet Bay and the curve line of development of larvae of the giant oyster Crassostrea gigas (nomogram) [Rakov, 1977].
Basin-scale spatio-temporal development of glacial lakes in the Hindukush-Karakoram-Himalayas
<p>This dataset offers detailed inventories of glacial lakes for the years 1990, 2000, 2010, and 2020 in the Hindu Kush Himalaya (HKH) region. Landsat satellite imagery was utilised to map glacial lakes, encompassing all lakes that are equal to or exceed 0.0036 km² in size.</p> <p>In the latest inventory from 2020, we identified a total of 19,284 glacial lakes, encompassing a cumulative area of 1191.81 ± 209.21 km². The investigation encompasses comprehensive mapping at the sub-basin level over the whole study area, facilitating regional-scale evaluations of glacial lake distribution and expansion. The findings reveal a significant rise in glacial lakes over the last thirty years, with a 9.31% increase in the number of lakes and a 10.09% increase in total lake area within the HKH region.</p>
Srrm4 expression during neural development in zebrafish
<p>Confocal microscope z-stacks recording expression of srrm4 during neural development in zebrafish, ascertained using hybridization chain reaction (HCR) in situ hybridization against srrm4 together with additional genes as indicated in file titles. In each file, srrm4 is in channel 1 (green), and if a second gene is listed, its expression is in channel 2 (red). Ages are indicated in file names: hpf = hours post fertilization ; dpf = days post fertilization.</p> <p>srrm4_elavl3_avg_3dpf.tif : mean of three co-registered images.</p> <p>srrm4_elavl3_avg_5dpf.tif : mean of five co-registered images.</p>
DATA SUPPORTING RESEARCH ON THE DEVELOPMENT OF PALEONTOLOGY IN BRAZIL (NETWORK VISUALIZATIONS)
<p>The documents made available present the data set that was processed in Lucas George Wendt's dissertation, presented in 2024 in the Postgraduate Program in Information Science (PPGCIN) of the Federal University of Rio Grande do Sul (UFRGS). The study is entitled: Brazilian Paleontology: a scientometric analysis based on the Lattes Curriculum. The abstract is as follows. This research sought to carry out a scientometric analysis of Paleontology in Brazil based on data collected in the Lattes Curriculum. The general objective of this dissertation is to analyze the scientific field of Paleontology diachronically and through a scientometric study - which will be explained based on the personal information of the researchers collected in their profiles and the scientific literature produced and registered in the Lattes Curriculum of the Lattes Platform. The literature review presented the concepts of Information Science, the area that, in this study, seeks to understand Paleontology through its research instruments; Scientific Communication, the main subject analyzed in this study; Metric Information Studies, the theoretical-methodological framework used in this research; Scientometrics, the theoretical scope used to understand in greater depth the constitution of the field of national Paleontology. Finally, references were also presented that help in the understanding of Paleontology in its national, South American, North American and European contexts. The research used a mixed approach of qualitative and quantitative elements. The data were generated from the CVs of researchers registered on the Lattes Platform, collected using the Brapci Bibliometric Tools tool and analyzed in specific software for metric analysis. To achieve the research objectives, data from 1,465 researcher profiles were analyzed. Regarding the full articles published in journals, 43,333 articles were considered valid. Regarding the keywords of the articles, 91,922 keywords were analyzed for word clouds and 84,771 for relationship networks. Of the academic orientations, 1,182 profiles generated 51,400 valid orientations. The aspect of the current employment relationship had 1,256 profiles considered. Regarding academic backgrounds, 1,465 profiles generated 4,556 academic backgrounds analyzed. The main contribution of this study is the realization of an unprecedented mapping of the panorama of Paleontology in Brazil, since there are no other studies that establish the same relationships that this research sought to establish. Regarding the results, based on the data collected and analyzed, the general metric indicators linked to the scientific production associated with Brazilian Paleontology were presented based on the information collected in the Lattes Curriculum; the directions of research in Paleontology that currently constitute this field in Brazil were mapped, as well as their thematic associations with other fields of knowledge; the training of PhD researchers who work with Paleontology or who have their production associated with Paleontology in terms of their academic training was characterized; and where the scientific knowledge in Paleontology or associated with Paleontology is produced was identified. The results of this study are relevant to understanding Brazilian Paleontology, highlighting its national orientation in fossil studies, doctoral training in local institutions and predominant activity in national organizations. These elements are important to consolidate Brazilian paleontological science globally. Regarding interdisciplinary relations, a clear proximity between Paleontology and Geosciences is observed, influenced by the history and current dynamics of the field. The study is available in full at this link: https://lume.ufrgs.br/handle/10183/278682.</p>
Figure 1 in Why we should develop guidelines and quantitative standards for using genetic data to delimit subspecies for data-poor organisms like cetaceans
Figure 1. Depiction of the divergence of lineages with four times (T1–T4) chosen to illustrate different levels of biological organization. At T1 the yellow lineage is found across the distribution and although there are likely Demographically Independent Populations (DIPs) that differ in frequencies of the blue, yellow, and red lineages, there are no discontinuities. At T2 some lineages may be diagnosable but likely do not yet appear to be separate lineages. At T3 three groups (the blue/green, yellow, and orange/red lineages) meet the subspecies definition (they are diagnosable and appear to be diverging separately). The divergence level is not sufficient that reconvergence can be ruled out. Between T3 and T4, barriers to gene flow change such that the yellow lineage comes into contact with the blue/green and red-dominated lineages. Blue has diverged in a manner by which gene flow does not resume and the green/yellow lineage dies out. The yellow lineage reconverges and persists alongside the red lineage with a small level of gene flow (orange). At T4 the blue lineage is a species evolving separately from the yellow/red species. The yellow/red species has two subspecies that are both diagnosable and partially diverged.
I-Seed_DS2 – SEED LIKE SOFT ROBOTS DESIGN AND DEVELOPMENT
<p>The dataset I-Seed_DS2 is dedicated to the design, development and functional validation of the I-Seed robots and flyers.</p> <p>Task 6.1: Development of biodegradable and hygromorphic structures</p> <p>Task 6.2: I-Seed robots design and development</p> <p>Task 6.3: I-Seed robots humidity detection</p> <p>Task 6.4: I-Seed robots functional tests</p>
A development-specific POLX essential for programmed genome rearrangement in Paramecium tetraurelia
<p><span>During the sexual cycle, programmed genome rearrangement (PGR) in <em>Paramecium tetraurelia</em> involves the non-homologous end joining (NHEJ) DNA repair pathway to eliminate specific germinal Internal Eliminated Sequences (IESs) from the newly developing somatic nucleus. In addition to the core NHEJ factors Ku70/80 and Xrcc4/Lig4, additional enzymes are required to process the 4-base 5’-protruding ends generated following DNA cleavage at IES boundaries, prior to their ligation. Here, we report that PolX (a,b,c,d), four <em>P. tetraurelia</em> distant orthologs of the human Pol</span><span>l</span><span> DNA polymerase, are involved in repair of IES excision junctions. During rearrangements, PolX-depleted cells accumulate genome-wide errors, such as unrepaired double-strand breaks, 1-nucleotide deletions and IES retention. Although all PolX paralogs can process DNA ends, two of them (PolXa&b) are induced during PGR and have acquired tight nuclear anchoring properties through their N-terminal region, which contains a predicted BRCT domain. Finally, we show that PolXa accumulates in nuclear foci together with other NHEJ proteins and the Dicer-like enzyme Dcl5, which is involved in the biogenesis of IES-specific small RNAs. We propose</span><span><span> </span></span><span>that these “DNA repair foci” correspond to the sites where IES concatemers, a by-product of IES excision, are ligated together to produce the precursors of iesRNAs.</span></p>
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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.