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3,517 results for “Weeks”
PROGRAMS project. Machine tool data from Aurrenak S. Coop. on 2020 Week 25
<p>These data were collected from FIDIA machine tool controller during milling operation.</p>
PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2020 Week 30
<p>These data were collected from robot controller during solar tanks welding operation.</p>
PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2020 Week 24
<p>These data were collected from robot controller during solar tanks welding operation.</p>
PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2020 Week 25
<p>These data were collected from robot controller during solar tanks welding operation.</p>
PROGRAMS project. Machine tool data from Aurrenak S. Coop. on 2020 Week 31
<p>These data were collected from FIDIA machine tool controller during milling operation.</p>
PROGRAMS project. Machine tool data from Aurrenak S. Coop. on 2020 Week 26
<p>These data were collected from FIDIA machine tool controller during milling operation.</p>
Weekly noise estimate of the residual of the LDC2a data set
<p>Weekly noise estimate of the residual of the LDC2a data set. The recovered Galactic binaries and massive black hole binaries are subtracted for each week.</p>
Caudal fin area: body length ratio (A:L 2; mean..) FIGURE 5 CF s S E measured from photographs of Salmo trutta parr at 20 and 32 weeks after exercise treatment initiation. A:L 2 values between the two CF s groups were significantly different (Welch's two sample t- test p <0.05) in Body shape and robustness response to water flow during development of brown trout Salmo trutta parr
Caudal fin area: body length ratio (A:L 2; mean..) FIGURE 5 CF s S E measured from photographs of Salmo trutta parr at 20 and 32 weeks after exercise treatment initiation. A:L 2 values between the two CF s groups were significantly different (Welch's two sample t- test p <0.05)
Absence of neocytolysis in humans returning from a 3-week high-altitude sojourn
<p>This dataset refers to the article "Absence of neocytolysis in humans returning from a 3-week high-altitude<br> sojourn" Acta Physiologica. 2021;232:e13647 <br> https://doi.org/10.1111/apha.13647</p>
iBECOME webinar - EU Sustainable Energy Week 2021
<p>iBECOME hosted a webinar as part of EU Sustainable Energy Week which took place in October 2021. The webinar gave attendees an overview of iBECOME, the demo sites, and two platforms used in the project; Schneider Electric's EcoStruxure Platform and iSCAN developed by IES.</p>
Weekly Standardized Counts of Influenza Positive Isolates in 4 Region in China Mainland
<p><strong>The data include weekly standardized counts of influenza positive isolates in 4 region in China mainland that covers 30 provinces.More details about the method of standardization and division of regions can be seen in "Characterization of influenza seasonality in China, 2010-2018: implications for seasonal influenza vaccination timing".</strong></p>
Illustrations from VU Data Horror Week
<p>Collection of illustrations created by <a href="http://www.dehondsdagen.nl/">Dehondsdagen</a> for the awareness campaign Data Horror Week at VU Amsterdam, first organized 26-30 October 2020. Most recent information on the VU Data Horror Week can be found at the website of the VU Library <a href="https://vu.nl/en/about-vu/more-about/data-horror-stories">Horror Stories Vrije Universiteit Amsterdam</a></p> <p>The collection includes illustrations from 2020 and 2021</p> <p><strong>About the Data Horror Week</strong></p> <p>This Data Horror Week is an initiative from the Research Data Management Support desks at several Dutch universities to raise awareness about the importance of good research data management. The first Dutch Data Horror Week was organized in 2019. The collected stories were published on <a href="https://www.lcrdm.nl/horror">LCRDM website</a>.</p> <p>For more stories, check #DataHorrorWeek on Twitter!</p> <p> </p> <p> </p>
The compiled 8-year dataset (2012-2019) consisting of weekly river water quality indicators (CODMn, DO, NH3-N and PH ) in majors 10 sub-basin of Yangtze river based on imputation of machine learning
<p>Water quality is significantly affected by global climate change and human activities, with diverse critical factors shaping its state in rivers and lakes. In the study, we utilized four indicators to characterize water quality: the physical water quality parameters included dissolved oxygen (DO, mg/L) and PH, while the chemical water quality parameters encompassed chemical oxygen demand (CODMn, mg/L) and ammonia nitrogen (NH3-N, mg/L). This study establishes weekly water quality models for typical 10 sub-basins along the Yangtze River using machine learning methods, which incorporate the impacts of hydro-meteorological and anthropogenic factors.These 10 sub-basins represent the principal tributaries of the Yangtze River basin and include Dongting Lake, the upper Han River, the lower Han River, the Jialing River, the Jinsha River, the Li River, the Min River, Poyang Lake, the Xiang River, and the Yuan River. This data collection was performed by National Environmental Monitoring Centre (http://www.cnemc.cn/sssj/szzdjczb/index_1.shtml). The water quality indicators discussed in this study are assessed in accordance with the national standard GB 3838-2002. Please refer to the paper for details.</p>
LAB4SUPPLY- WEEKLY PRICES TOMATO IN SPAIN
<p>Weekly prices received by the producer and paid by the consumer for the period 2012-2022. Product: tomato</p>
LAB4SUPPLY- WEEKLY PRICES FIG IN SPAIN
<p>Weekly prices received by the producer and paid by the consumer for the period 2012-2022. Product: fig</p>
Рис. 6. СΛетки китайского (a) и маΛого воΛчка (b) в возрасте 2 неΑеΛь Fig. 6. Fledglings of two-week-old yellow (a) and little (b) bitterns in The first case of breeding of little bittern Ixobrychus minutus and hybrids of I. minutus with I. sinensis in the Russian Far East
Рис. 6. СΛетки китайского (a) и маΛого воΛчка (b) в возрасте 2 неΑеΛь Fig. 6. Fledglings of two-week-old yellow (a) and little (b) bitterns
Рис. 4. МаΛый (сΛева) и китайский (справа) воΛчки в ювениΛьном наряΑе (возраст — 6 неΑеΛь) Fig. 4. Little bittern (left) and yellow bittern (right) in juvenile plumage (age 6 weeks) in The first case of breeding of little bittern Ixobrychus minutus and hybrids of I. minutus with I. sinensis in the Russian Far East
Рис. 4. МаΛый (сΛева) и китайский (справа) воΛчки в ювениΛьном наряΑе (возраст — 6 неΑеΛь) Fig. 4. Little bittern (left) and yellow bittern (right) in juvenile plumage (age 6 weeks)
BRAIN Journal-The Ambivalence of Strengths and Weaknesses of E-Learning Educational Services-Figure 3.Frequency of principal week indices related to the 101 'week articles'
<p>Reduced social interaction is the most important for weaknesses, representing 9.4% of the total of studied bibliography and an occurrence frequency of 5.5% (Figure3). A significant frequency difference of the weaknesses indices compared to the strengths indices was observed. If the top 5 strengths have frequencies ranging between 13.6% and 7%, none of the weaknesses has an occurrence frequency over 6%, all barely ranging between 5.5% and 3.4%, relative to the middle of strengths frequency range. For the practice of e-learning educational services, this may show either a still insufficient detection or theoretical analysis of weaknesses, or, indeed, the superiority of these services.</p>
BRAIN Journal-Developing Distance Learning Environments in the Context of Cross-Border Cooperation-Figure 5. Weekly session stats for 2016
<p>On following figures, statistic usage is given as Monthly and Weekly statistic for individual users and sessions. The number of the individual users and of the sessions is far better for the 2015 period, especially for the extent of time until the end of June. This is reasonable because it was during the project and the site is frequently put forward in promotional conferences, in press, in direct contacts with schools, and companies. After that period the site was not promoted additionally, and the only pointer to the site is a number of links found on our institutional websites as one of the services we are offering to the students. Considering all that, the figures for 2015 and even 2016, seems to be quite satisfactory. (Figure 1, Figure 4, and Figure 5).</p>
ERC Week – Our Mythical Childhood and Us, 2017
<p>This video introduces the project ‘Our Mythical Childhood... The Reception of Children's and Young Adults' Culture in Response to Regional and Global Challenges'. It celebrates 10 years of the European Research Council, who generously funded the Our Mythical Childhood project. To see the project outputs, visit www.omc.obta.al.uw.edu.pl/ and www.panoply.org.uk/our-mythical-childhood.</p> <p>For more see <a href="http://omc.obta.al.uw.edu.pl/meet-omc">http://omc.obta.al.uw.edu.pl/meet-omc</a>. The clip is also available here: <a href="https://www.youtube.com/watch?v=4vLb4NlRZ38">https://www.youtube.com/watch?v=4vLb4NlRZ38</a>. </p>
ScienceDex guides
Understand access before you commit
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.