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12,871 results for “aging;”
Iron Age Lid, Castilla La Mancha, Spain
Ceramic lid of an Iberian ear urn from the site of Alarcos, Ciudad Real, Castilla-La Mancha, Spain. Iron Age. In the collection of the Ciudad Real Museum. Catalog number DO000178.02. Processed in Reality Capture from 294 images. Sector IV-E. Necropolis I (Grave 2) 7th and 6th centuries BC Citation: Alarcos en Época Ibérica: poblamiento, economía y sociedad, 2014: 75-78 This work is part of the collaboration agreement signed in 2020 between the Junta de Comunidades de Castilla-La Mancha and Global Digital Heritage for the digitization of the Cultural Heritage of Castilla-La Mancha region. We want to publicly thank the collaboration of the Museum of Ciudad Real, especially by its director José Ignacio de la Torre. Source: Objaverse 1.0 / Sketchfab
Supplementary material 4 from: Chen R, Fang C, Shih F, King C (2016) A Scoring System for Identifying Severe Cases of Influenza-like Illness by Comorbidity and Age - A Nationwide Cohort Analysis. Research Ideas and Outcomes 2: e9648. https://doi.org/10.3897/rio.2.e9648
The poster presented in the Conference.
Supplementary material 5 from: Chen R, Fang C, Shih F, King C (2016) A Scoring System for Identifying Severe Cases of Influenza-like Illness by Comorbidity and Age - A Nationwide Cohort Analysis. Research Ideas and Outcomes 2: e9648. https://doi.org/10.3897/rio.2.e9648
The dataset used for in Stata 14 format. The other datasets are available upon request.
Supplementary material 2 from: Chen R, Fang C, Shih F, King C (2016) A Scoring System for Identifying Severe Cases of Influenza-like Illness by Comorbidity and Age - A Nationwide Cohort Analysis. Research Ideas and Outcomes 2: e9648. https://doi.org/10.3897/rio.2.e9648
A sample SAS SQL program code fragment is attached.
Supplementary material 1 from: Chen R, Fang C, Shih F, King C (2016) A Scoring System for Identifying Severe Cases of Influenza-like Illness by Comorbidity and Age - A Nationwide Cohort Analysis. Research Ideas and Outcomes 2: e9648. https://doi.org/10.3897/rio.2.e9648
Options for the Control of Influenza VIII Conference Programme Book
Supplementary material 3 from: Chen R, Fang C, Shih F, King C (2016) A Scoring System for Identifying Severe Cases of Influenza-like Illness by Comorbidity and Age - A Nationwide Cohort Analysis. Research Ideas and Outcomes 2: e9648. https://doi.org/10.3897/rio.2.e9648
A sample Stata program code fragment is attached.
Figure 3 from: Ruas C, Vaz-dos-Santos AM (2017) Age structure and growth of the rough scad, Trachurus lathami (Teleostei: Carangidae), in the Southeastern Brazilian Bight. Zoologia 34: 1-11. https://doi.org/10.3897/zoologia.34.e20475
Figure 3 - Trachurus lathami: external surface of a left otolith showing measurements (OL = otolith length and OH = otolith height) and ring analysis (M and L are rings formed before the first annual one; more details in the text). Scale bar: 1 mm.
Figures 8-11 from: Ruas C, Vaz-dos-Santos AM (2017) Age structure and growth of the rough scad, Trachurus lathami (Teleostei: Carangidae), in the Southeastern Brazilian Bight. Zoologia 34: 1-11. https://doi.org/10.3897/zoologia.34.e20475
Figures 8-11 - Trachurus lathami: space-time distribution of age groups in the Southeastern Brazilian Bight during (8) summer of 2008 (January-February), (9) spring of 2008 (November), (10) spring of 2009 (September-October) and (11) summer of 2010 (February–March).
Figure 2 from: Ruas C, Vaz-dos-Santos AM (2017) Age structure and growth of the rough scad, Trachurus lathami (Teleostei: Carangidae), in the Southeastern Brazilian Bight. Zoologia 34: 1-11. https://doi.org/10.3897/zoologia.34.e20475
Figure 2 - Map of the Southeastern Brazilian Bight (SEBB) showing the locations of fishing hauls with Trachurus lathami catches by period (n = 17, some points are overlapped in the map).
Figures 5-6 from: Ruas C, Vaz-dos-Santos AM (2017) Age structure and growth of the rough scad, Trachurus lathami (Teleostei: Carangidae), in the Southeastern Brazilian Bight. Zoologia 34: 1-11. https://doi.org/10.3897/zoologia.34.e20475
Figures 5-6 - Trachurus lathami: (5) Box plot of ring radius (whiskers = minimum and maximum, box = interquartile range, bar = mean). (6) Constancy graph showing the position of rings radius (R) against total length (TL) (n = 278).
Figure 7 from: Ruas C, Vaz-dos-Santos AM (2017) Age structure and growth of the rough scad, Trachurus lathami (Teleostei: Carangidae), in the Southeastern Brazilian Bight. Zoologia 34: 1-11. https://doi.org/10.3897/zoologia.34.e20475
Figure 7 - Trachurus lathami: von Bertalanffy growth curve fitted (line) to observed total lengths (points) by age (n = 278).
Figure 1 from: Ruas C, Vaz-dos-Santos AM (2017) Age structure and growth of the rough scad, Trachurus lathami (Teleostei: Carangidae), in the Southeastern Brazilian Bight. Zoologia 34: 1-11. https://doi.org/10.3897/zoologia.34.e20475
Figure 1 - Commercial landings of Trachurus lathami and Sardinella brasiliensis in the Southeastern Brazilian Bight (SEBB). Data of 2008, 2009 and 2010 are restricted to states of Paraná and São Paulo that representing 95% of the total landings. Data source: Valentini and Pezzutto 2006, MMA 2007a, b, 2008 UNIVALI 2009, 2010, 2011, Instituto de Pesca 2013.
Figure 4 from: Ruas C, Vaz-dos-Santos AM (2017) Age structure and growth of the rough scad, Trachurus lathami (Teleostei: Carangidae), in the Southeastern Brazilian Bight. Zoologia 34: 1-11. https://doi.org/10.3897/zoologia.34.e20475
Figure 4 - Trachurus lathami: length frequency distribution by period (dashed line indicates the average length of first maturity, L50 = 115 mm).
Figure 5 from: Siddique AB, Khokon AM, Unterseher M (2017) What do we learn from cultures in the omics age? High-throughput sequencing and cultivation of leaf-inhabiting endophytes from beech (Fagus sylvatica L.) revealed complementary community composition but similar correlations with local habitat conditions. MycoKeys 20: 1-16. https://doi.org/10.3897/mycokeys.20.11265
Figure 5 - Relative abundance distribution of fungal leaf-inhabiting endophytes of beech among the five main trophic guilds as revealed by analysis with FUNGuild (Nguyen et al. 2016). A compares the two localities for each trophic guild on the basis of Illumina data B compares the two localities for each trophic guild on the basis of cultivation data.
Figure 4 from: Siddique AB, Khokon AM, Unterseher M (2017) What do we learn from cultures in the omics age? High-throughput sequencing and cultivation of leaf-inhabiting endophytes from beech (Fagus sylvatica L.) revealed complementary community composition but similar correlations with local habitat conditions. MycoKeys 20: 1-16. https://doi.org/10.3897/mycokeys.20.11265
Figure 4 - Relative abundance of fungal leaf-inhabiting endophytes of beech among the five main trophic guilds as revealed by analysis with FUNGuild (Nguyen et al. 2016). A compares the two methods for each trophic guild and unassigned data. B displays the trophic guilds and unassigned taxa for Illumina data, C for cultivation data. Abbreviations in [B and C]: U = Unassigned, P = Pathotrophs, PSa = Patho-Saprotrophs, PSy = Patho-Symbiotrophs, Sa = Saprotrophs, Sy = Symbiotrophs
Figure 2 from: Siddique AB, Khokon AM, Unterseher M (2017) What do we learn from cultures in the omics age? High-throughput sequencing and cultivation of leaf-inhabiting endophytes from beech (Fagus sylvatica L.) revealed complementary community composition but similar correlations with local habitat conditions. MycoKeys 20: 1-16. https://doi.org/10.3897/mycokeys.20.11265
Figure 2 - . Principal coordinate analysis (PCoA) of fungal leaf-inhabiting endophytes of beech display strongly differing assemblages obtained with Illumina sequencing and cultivation. Both methods revealed differing mycobiomes from valley and from mountain leaves, although these differences were less pronounced for cultivation data. Abbreviations: IM = Illumina data from mountain samples, IV = Illumina data from valley samples, CM = cultivation data from mountain samples, CV = cultivation data from valley samples
Figure 3 from: Siddique AB, Khokon AM, Unterseher M (2017) What do we learn from cultures in the omics age? High-throughput sequencing and cultivation of leaf-inhabiting endophytes from beech (Fagus sylvatica L.) revealed complementary community composition but similar correlations with local habitat conditions. MycoKeys 20: 1-16. https://doi.org/10.3897/mycokeys.20.11265
Figure 3 - Abundance distribution of the 20 most abundant orders of fungal leaf-inhabiting endophytes of beech on a logarithmic scale. Three of the five most abundant orders from high-throughput sequencing were also most abundant in cultivation data.
Figure 1 from: Siddique AB, Khokon AM, Unterseher M (2017) What do we learn from cultures in the omics age? High-throughput sequencing and cultivation of leaf-inhabiting endophytes from beech (Fagus sylvatica L.) revealed complementary community composition but similar correlations with local habitat conditions. MycoKeys 20: 1-16. https://doi.org/10.3897/mycokeys.20.11265
Figure 1 - Diversity indexes and accumulation curves for a Illumina and b cultivation data of fungal leaf-inhabiting endophytes of beech. Except of the accumulation curves of cultivation data, both methods revealed a clear and partly significant trend of higher fungal diversity at the valley site.
Figure 2 from: Ruas C, Vaz-dos-Santos AM (2017) Age structure and growth of the rough scad, Trachurus lathami (Teleostei: Carangidae), in the Southeastern Brazilian Bight. Zoologia 34: 1-11. https://doi.org/10.3897/zoologia.34.e20475
Figure 2 - Map of the Southeastern Brazilian Bight (SEBB) showing the locations of fishing hauls with Trachurus lathami catches by period (n = 17, some points are overlapped in the map).
Figures 5-6 from: Ruas C, Vaz-dos-Santos AM (2017) Age structure and growth of the rough scad, Trachurus lathami (Teleostei: Carangidae), in the Southeastern Brazilian Bight. Zoologia 34: 1-11. https://doi.org/10.3897/zoologia.34.e20475
Figures 5-6 - Trachurus lathami: (5) Box plot of ring radius (whiskers = minimum and maximum, box = interquartile range, bar = mean). (6) Constancy graph showing the position of rings radius (R) against total length (TL) (n = 278).
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.